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Fractional spectral collocation method for optimal control problem governed by space fractional diffusion equation

机译:空间分数扩散方程治理最优控制问题的分数谱搭配方法

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In this paper, we mainly investigate the fractional spectral collocation discretization of optimal control problem governed by a space-fractional diffusion equation. Existence and uniqueness of the solution to optimal control problem is proved. The continuous first order optimality condition is derived. The eigenfunctions of two classes of fractional Strum-Liouville problems are used as basis functions to approximate state variable and adjoint state variable, respectively. The fractional spectral collocation scheme for the control problem is constructed based on 'first optimize, then discretize' approach. Note that the solutions of fractional differential equations are usually singular near the boundary, a generalized fractional spectral collocation scheme for the control problem is proposed based on 'first optimize, then discretize' approach. A projected gradient algorithm is designed based on the discrete optimality condition. Numerical experiments are carried out to verify the effectiveness of the proposed numerical schemes and algorithm. (C) 2019 Elsevier Inc. All rights reserved.
机译:在本文中,我们主要研究了空间分数扩散方程治理的最佳控制问题的分数光谱搭配离散化。证明了对最佳控制问题解决方案的存在和唯一性。衍生连续的一阶最优性条件。两类分数阵列问题的特征功能分别用于近似函数变量和伴随状态变量的基础函数。基于“首先优化,然后离散化”方法来构建用于控制问题的分数谱分配方案。注意,分数微分方程的解通常是奇异的边界,基于“首先优化,然后离散化”方法提出了一种用于控制问题的广义分数谱搭配方案。基于离散的最优性条件设计了一种投影梯度算法。进行数值实验以验证提出的数值方案和算法的有效性。 (c)2019 Elsevier Inc.保留所有权利。

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